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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Teknika: Jurnal Sains dan Teknologi RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Pengabdian Masyarakat Waradin Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Jurnal Publikasi Manajemen Informatika (JUPUMI) Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Jurnal Kabar Masyarakat International Journal of Economics, Commerce, and Management International Journal of Economics and Management Sciences Mikroba: Jurnal Ilmu Tanaman, Sains dan Teknologi Pertanian International Journal of Computer Technology and Science International Journal of Information Engineering and Science International Journal of Electrical Engineering, Mathematics and Computer Science
Ira Zulfa
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer

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Sistem Informasi Analisis Volume Sampah dan Optimalisasi Rute Pengangkutan dengan Metode Neural Networks Ira Zulfa; Eliyin Eliyin; Muhammad Yustisar; Asyam Amrullah Ar-ramdhi
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.1207

Abstract

In an age of rapid urbanization, managing waste properly is a major challenge. To deal with the increasing amount of waste, a good transportation system is needed. Therefore, the purpose of this research is to build a “Waste Volume Analysis and Transportation Route Optimization Information System using Neural Networks Method.” To precisely determine the volume of waste and design the best transportation route, this research will utilize neural networks technology. It is hoped that this system can provide innovative solutions to improve the efficiency of waste management. The research will involve collecting data on waste volume from the past and in person, analyzing it using neural networks to make precise predictions, and applying algorithms to optimize routes. This process includes data processing, modeling, and field testing of the system. This research includes results related to predicting waste volume precisely and providing visualizations that are easy to understand for use, the most efficient transportation routes that can cut operational time and costs.
Co-Authors Adellia Divandariga S Adi Kurniawan Asyam Amrullah Ar-ramdhi Azhari Azhari Edi Winarko Eliyin Eliyin Eliyin, Eliyin Fajrillah Faradilla Faradilla Firmansyah Firmansyah Firmasyah Firmasyah Fitranuddin Fitranuddin Hajar Ashwad Hendri Syahputra Ida Zulfida Ilhamdi Ilhamdi Iryana Rezeki Isranuddin Harun Khaidir Koko Lili Suryati May Handri Muhajir Isnin Muhamad Yustisar Muhammad Riski Aulia Muhammad Yustisar Rapiah Rapiah Rayuwati Rayuwati Richasanty Septima Richasanty Septima S Riski Wanda Salmandi Salmandi Syahril Faizin Syukri Mahara Zikri Syah Dermawan Zulida Susanti